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Lead AI Architect

Job in Toronto, Ontario, M5A, Canada
Listing for: WomenTech Network
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

Responsible for the architecture of applications. Defines application and technical component composition and interactions which address functional and non-functional requirements. Selects, defines and documents technology choices that best addresses requirements and constraints. Performs viability assessments to analyze and resolve architectural weaknesses. An application architect will need to interact effectively with business stakeholders, project managers, developers, and specialists to oversee the planning and implementation of applications.

We seek a visionary AI Architect to pioneer next-generation AI solutions integrating Generative AI, Agentic AI architectures, and collaborative Agentic Mesh ecosystems. This role demands expertise in designing self-organizing AI systems that blend large language models (LLMs), small language models (SLMs), and multi-agent frameworks to drive disruptive technological transformation. Candidates must demonstrate mastery in translating theoretical AI advancements into scalable, ethical systems with measurable real-world impact

#AgenticAI

Key Responsibilities

Advanced Architecture Design

  • Design Generative AI systems leveraging GANs, VAEs, and transformer-based models for content synthesis, simulation, and data augmentation
  • Architect Agentic AI frameworks using Lang Chain, Hugging Face, GCP Agentspace, Azure AI Foundry, AWS Bedrock, and vector databases to enable autonomous problem-solving and adaptive learning
  • Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities
  • Model Optimization & Innovation

  • Develop novel techniques for LLM/SLM fine-tuning, including retrieval-augmented generation (RAG) and context-aware prompt engineering
  • Optimize inference performance for real-time applications using MLOps pipelines and cloud-native deployment using native PaaS
  • Lead R&D initiatives in neuro-symbolic AI, mechanistic interpretability, and ethical guardrails for autonomous systems
  • Strategic team player

  • Work with high performance teams in deploying AI systems that redefine industry standards (, healthcare diagnostics, financial forecasting, supply chain resilience).
  • Collaborate on publishing whitepapers and patents on emergent AI architectures, emphasizing sustainability and bias mitigation
  • Your Future at Kyndryl
    Every position at Kyndryl offers a way forward to grow your career, from a Junior Architect to Principal Architect – we have opportunities for that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Join us in revolutionizing the world of software design and take your career to the next level.

    Who You Are

    You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

    Required Technical and Professional Experience

    Education

  • PhD in Machine Learning, Computational Neuroscience, or AI Ethics (or niche MSc with 8+ years in complex AI systems)
  • Technical Expertise

  • 7+ years building production-grade AI systems using:
  • Generative AI:
    PyTorch Lightning, Hugging Face Transformers, Stable Diffusion, Open AI, Grok etc
  • Agentic AI:
    Hugging Face, Nvidia Toolkits, Hyperscaler AI agent services, Lang Chain, vector databases, MCP, A2A protocols etc
  • LLM/SLM Optimization:
    LoRA, QLoRA, and RLHF techniques
  • Proven ability to design multi-agent systems with emergent collaboration capabilities
  • Cognitive & Professional Traits

  • Lateral thinker with patents/publications in ICML, NeurIPS, or…
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